Assessment of acute kidney injury risk using a machine-learning guided generalized structural equation model: a cohort study.

Journal: BMC nephrology
PMID: 33618695

Abstract

BACKGROUND: Acute kidney injury is common in the surgical intensive care unit (ICU). It is associated with poor patient outcomes and high healthcare resource usage. This study's primary objective is to help identify which ICU patients are at high risk for acute kidney injury. Its secondary objective is to examine the effect of acute kidney injury on a patient's prognosis during and after the ICU admission.

Authors

  • Wen En Joseph Wong
    Yong Loo Lin School of Medicine, National University of Singapore, 1E Kent Ridge Road, Singapore, 119228, Singapore. josephwong5@hotmail.com.
  • Siew Pang Chan
    Yong Loo Lin School of Medicine, National University of Singapore, 1E Kent Ridge Road, Singapore, 119228, Singapore.
  • Juin Keith Yong
    Yong Loo Lin School of Medicine, National University of Singapore, 1E Kent Ridge Road, Singapore, 119228, Singapore.
  • Yen Yu Sherlyn Tham
    Yong Loo Lin School of Medicine, National University of Singapore, 1E Kent Ridge Road, Singapore, 119228, Singapore.
  • Jie Rui Gerald Lim
    Yong Loo Lin School of Medicine, National University of Singapore, 1E Kent Ridge Road, Singapore, 119228, Singapore.
  • Ming Ann Sim
    Department of Anaesthesia, National University Health System, 5 Lower Kent Ridge Road, Singapore, 119074, Singapore.
  • Chai Rick Soh
    Department of Anesthesiology, Singapore General Hospital, Singapore, Singapore.
  • Lian Kah Ti
    Yong Loo Lin School of Medicine, National University of Singapore, 1E Kent Ridge Road, Singapore, 119228, Singapore.
  • Tsong Huey Sophia Chew
    Yong Loo Lin School of Medicine, National University of Singapore, 1E Kent Ridge Road, Singapore, 119228, Singapore.

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